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Thierry Mora

Showing results (71-80 of 134) with videos related to

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Bioinformatics (Oxford, England)|January 19, 2019
OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifsZachary Sethna, Yuval Elhanati, Curtis G Callan, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 5, 2024
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopesBarthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, et al.
Immunological Reviews|June 27, 2018
Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombinationYuval Elhanati, Zachary Sethna, Curtis G Callan, et al.
Frontiers in Computational Neuroscience|August 25, 2022
Disorder and the Neural Representation of Complex OdorsKamesh Krishnamurthy, Ann M Hermundstad, Thierry Mora, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 20, 2014
Quantifying selection in immune receptor repertoiresYuval Elhanati, Anand Murugan, Curtis G Callan, et al.
BMC Bioinformatics|July 3, 2015
Capturing coevolutionary signals inrepeat proteinsRocío Espada, R Gonzalo Parra, Thierry Mora, et al.
Physical Review. E|July 22, 2020
Generative models of T-cell receptor sequencesGiulio Isacchini, Zachary Sethna, Yuval Elhanati, et al.
Cell Systems|December 18, 2020
RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I AllelesBarbara Bravi, Jérôme Tubiana, Simona Cocco, et al.
Elife|April 22, 2025
Modeling collective behavior in groups of mice housed under semi-naturalistic conditionsXiaowen Chen, Maciej Winiarksi, Alicja Puścian, et al.
Elife|October 22, 2021
Physical observables to determine the nature of membrane-less cellular sub-compartmentsMathias L Heltberg, Judith Miné-Hattab, Angela Taddei, et al.
Pageof 14

Showing results (71-80 of 134) with videos related to

Sort By:
Pageof 14
Bioinformatics (Oxford, England)|January 19, 2019
OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifsZachary Sethna, Yuval Elhanati, Curtis G Callan, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 5, 2024
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopesBarthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, et al.
Immunological Reviews|June 27, 2018
Predicting the spectrum of TCR repertoire sharing with a data-driven model of recombinationYuval Elhanati, Zachary Sethna, Curtis G Callan, et al.
Frontiers in Computational Neuroscience|August 25, 2022
Disorder and the Neural Representation of Complex OdorsKamesh Krishnamurthy, Ann M Hermundstad, Thierry Mora, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 20, 2014
Quantifying selection in immune receptor repertoiresYuval Elhanati, Anand Murugan, Curtis G Callan, et al.
BMC Bioinformatics|July 3, 2015
Capturing coevolutionary signals inrepeat proteinsRocío Espada, R Gonzalo Parra, Thierry Mora, et al.
Physical Review. E|July 22, 2020
Generative models of T-cell receptor sequencesGiulio Isacchini, Zachary Sethna, Yuval Elhanati, et al.
Cell Systems|December 18, 2020
RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I AllelesBarbara Bravi, Jérôme Tubiana, Simona Cocco, et al.
Elife|April 22, 2025
Modeling collective behavior in groups of mice housed under semi-naturalistic conditionsXiaowen Chen, Maciej Winiarksi, Alicja Puścian, et al.
Elife|October 22, 2021
Physical observables to determine the nature of membrane-less cellular sub-compartmentsMathias L Heltberg, Judith Miné-Hattab, Angela Taddei, et al.
Pageof 14